Research Resource for Complex Physiologic Signals

描述（由申请人提供）：PhysioNet成立于1999年，是美国国立卫生研究院（nih）资助的复杂生理信号研究资源，在生物医学领域的数据和软件资源中具有卓越的地位。它的数据档案PhysioBank是世界上第一个，并且仍然是世界上最大，最全面和最广泛使用的时变生理信号储存库。它的软件集合PhysioToolkit支持对PhysioBank和类似数据的探索和定量分析，这些数据具有广泛的文档记录，经过严格测试，可以在任何平台上运行的开源软件。PhysioNet的研究团队利用其他资助项目的结果来推动创建和丰富：“数据收集提供越来越全面，多层面的病理生理学长时间间隔的观点，如重症监护患者的MIMIC II（多参数监测）数据库；导致更及时和准确诊断的分析方法（如急性低血压事件的预测），并阐明与疾病和衰老相关的动态变化（如睡眠呼吸障碍综合征期间的心肺相互作用）；用户界面，参考资料和服务增加了PhysioNet的数据和软件的价值和可访问性（如PhysioNetWorks，一个用于数据共享的虚拟实验室）。影响：PhysioNet是专家、年轻研究人员和学员进行创新研究的推动者和加速器，他们致力于独立项目和重点生物医学工程挑战，这些挑战是通过其他方式无法获得的数据实现的。通过其PhysioNetWorks，资源为研究人员提供了新的工具和机会，不仅可以满足NIH数据共享的要求，还可以通过可访问的、有价值的贡献来丰富数据共享。通过提供免费访问其独特而广泛的数据和软件集合，PhysioNet使研究平均每月70篇学术出版物（自成立以来，全球学术，临床和行业附属研究人员的研究超过5000篇）成为可能。具体目标：未来5年，我们的目标是：1。利用新技术和数据加速PhysioNet的发展；2. 通过对复杂生理信号的积极研究项目推动相关创新；3. 激励和挑战不断增长的调查人员群体。

DESCRIPTION (provided by applicant): PhysioNet, established in 1999 as the NIH-sponsored Research Resource for Complex Physiologic Signals, has attained a preeminent status among data and software resources in biomedicine. Its data archive, PhysioBank, was the first, and remains the world's largest, most comprehensive and most widely used repository of time-varying physiologic signals. Its software collection, PhysioToolkit, supports exploration and quantitative analyses of PhysioBank and similar data with a wide range of well-documented, rigorously tested, open-source software that can be run on any platform. PhysioNet's team of researchers leverages results of other funded projects to drive the creation and enrichment of: " Data collections that provide increasingly comprehensive, multifaceted views of pathophysiology over long time intervals, such as the MIMIC II (Multiparameter Monitoring in Intensive Care) Database of critical care patients; " Analytic methods that lead to more timely and accurate diagnoses (such as prediction of acute hypotensive events), and elucidation of dynamical changes associated with disease and aging (such as cardiopulmonary interactions during sleep disordered breathing syndrome); " User interfaces, reference materials and services that add value and improve accessibility to PhysioNet's data and software (such as PhysioNetWorks, a virtual laboratory for data sharing). Impact: PhysioNet is a proven enabler and accelerator of innovative research by specialists, young investigators and trainees alike, working on independent projects and focused biomedical engineering challenges made possible by data that are inaccessible otherwise. Through its PhysioNetWorks, the Resource gives researchers new tools and the opportunity not merely to meet NIH data sharing mandates, but to enrich the data commons with accessible, valuable contributions. By providing free access to its unique and wide- ranging data and software collections, PhysioNet enables studies that lead to an average of 70 scholarly publications per month (well over 5000 studies since its inception by academic, clinical, and industry-affiliated researchers worldwide. Specific aims: For the next 5 years we aim to: 1. Accelerate PhysioNet's growth with new technology and data; 2. Drive relevant innovation through a vigorous research program on complex physiologic signals; 3. Stimulate and challenge a growing community of investigators. PUBLIC HEALTH RELEVANCE: PhysioNet, the Research Resource for Complex Physiological Signals, maintains the world's largest, most comprehensive, and most widely used repository of time-varying physiological signals and associated signal-processing software, and makes them freely available to the research community. PhysioNet is a proven enabler and accelerator of innovative research by specialists and non- specialists alike, working on independent projects and focused engineering challenges made possible by data that are inaccessible otherwise.